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and implement solutions with information provided through systems analysis. Ability to demonstrate analytical and problem-solving skills. Prior experience leading IT teams. In-depth knowledge in ORNL’s
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and
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Requisition Id 16000 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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-scale storage systems and HPC platforms to support research, scientific, and enterprise workloads. Develop and implement solutions for structured, unstructured, and archival data storage, focusing
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needs and gather detailed actionable requirements. Analysis of emerging trends and technologies to provide recommendations for roadmaps and AI strategy. This includes Generative AI and ML techniques and
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characterizations. Experience with user facilities. Data analysis of structural, electronic, magnetic, and topological properties. Work with others to maintain a high level of scientific productivity. Publish
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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of quality initiatives, assesses satisfaction, and exchanges feedback and lessons learned. Analyze, interpret, and communicate quality and performance data to management in support of established metrics and
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HPGe instrumentation, performing data analysis, calibrations, and QA/QC activities, and supporting technical documentation in support of research and operations. The position ensures all work is
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of War (DoW) SAP experience preferred. Major Duties/Responsibilities: The CSSO is responsible for: planning and supervising classified information systems, controlled areas, and alarms or emergency